The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

Multi-criteria decision analysis (MCDA) is a valuable resource within operations research
and management science. Various MCDA methods have been developed over the years …

The evaluation of feature selection methods for text classification with small sample datasets
must consider classification performance, stability, and efficiency. It is, thus, a multiple …

This study examines the predictability of three major cryptocurrencies—bitcoin, ethereum,
and litecoin—and the profitability of trading strategies devised upon machine learning …

In a group decision-making (GDM) process, experts reach a consensus after discussion and
persuasion, which requires a moderator to spend time and resource to persuade experts to …

Financial systemic risk is an important issue in economics and financial systems. Trying to
detect and respond to systemic risk with growing amounts of data produced in financial …

In recent years several previous scholars made attempts to develop, extend, propose and
apply Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for solving …

Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …

This study intends to explore humanitarian supply chain management barriers (HSCMBs)
and evaluate solutions for overcoming these barriers to improve humanitarian supply chain …

Decision-making is primarily a process that involves different actors: people, groups of
people, institutions and the state. As a discipline, multi-criteria decision-making has a …